AI Developer
2 weeks ago
- Implement conversational agent features using LLMs and voice integration
- Develop real-time conversational flows (intent detection, slot extraction, fallback handling, barge-in rules)
- Integrate Azure Cognitive Services (Speech-to-Text, Text-to-Speech, Language Services) and open-source AI components
- Build and optimize pipelines for secure data handling (PII masking, transcript storage, session persistence)
- Implement monitoring and logging for model performance and conversation quality
- Ensure compliance with enterprise-level security and privacy requirements during implementation
- Voice AI: Speech-to-Text and Text-to-Speech integration (Azure Speech Services/Open Source), orchestration of voice agents
- LLM & NLP: experience with LLMs; intent classification, slot extraction, summarization
- MLOps: Azure ML, Databricks
- Evaluation & Testing: defining metrics for conversational AI (intent accuracy, fallback rate, voice consistency, hallucination control)
- 2–3 years in AI/ML software development, with focus on conversational AI or NLP applications
- Hands-on experience with Azure AI services in production systems
- Previous work on real-time systems
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